The development of microelectromechanical system (MEMS) processes enables the
integration of capacitive sensors into silicon integrated circuits. These sensors have been …

This article presents a recording front end for high-density CMOS neuronal probes with in
situ digitization and electrode offset voltage compensation. The analog front end (AFE) is …

This article presents a capacitively coupled voltage-controlled oscillator (VCO)-based
sensor readout featuring a hybrid phase-locked loop (PLL)-ΔΣ modulator structure. It …

This paper presents a second-order voltage-controlled oscillator (VCO)-based front-end for
the direct digitization of biopotential signals. This work addresses the non-linearity of VCO …

The rise of the internet-of-things and distributed sensor nodes with machine-learning and
edge processing are driving the need for low-power, high-precision ADCs. These highly …

Closed-loop neural recording requires a front-end with a wide DR to record small neural
signals without distortion in the presence of a DC electrode offset (~ 50mV) and a large …

This brief describes a power-efficient time-domain analog front-end (AFE) for autonomous
sensor nodes. This AFE combines an input pulse-width modulator (PWM) and a gated ring …

Biomedical signals such as Electrocardiogram (ECG), Electroencephalogram (EEG) and
photoplethysmography (PPG) are recorded routinely to provide helpful information for early …

This paper presents a VCO-based second-order feedforward CT-ADC architecture designed
for EEG recording front-ends. This structure permits the first-stage integrator to process only …

The next generation autonomous sensor nodes are being developed towards ultra-low-
power with on-node signal processing capability. The former facilitates battery-less and …